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Record W4413142500 · doi:10.1175/bams-d-25-0104.1

The Arctic

2025· article· en· W4413142500 on OpenAlexaff
Richard Thoman, Twila Moon, Matthew L. Druckenmiller, Thomas G. Askjaer, Thomas J. Ballinger, Uma S. Bhatt, Logan T. Berner, G. Bernhard, Siiri Bigalke, Jarle W. Bjerke, Angela C. Bliss, Jason E. Box, Mike Brady, Brian Brettschneider, Amy H. Butler, Hanne H. Christiansen, Alex Crawford, Bertrand Decharme, Chris Derksen, Dmitry Divine, Alesksandra Elias Chereque, Howard E. Epstein, S. L. Farrell, Robert S. Fausto, Vitali Fioletov, Bruce C. Forbes, Gerald V. Frost, Sebastian Gerland, Jens‐Uwe Grooß, Edward Hanna, Stefan Hendricks, Stephen Howell, Iolanda Ialongo, Ketil Isaksen, Gensuo Jia, Bjørn Johnsen, Lars Kaleschke, Seong-Joong Kim, Zachary M. Labe, Rick Lader, Kaisa Lakkala, Mark J. Lara, Simon H. Lee, Bryant Loomis, Kari Luojus, Matthew J. Macander, Rúna Í. Magnússon, Kenneth D. Mankoff, J. W. McClelland, Brooke Medley, Walter N. Meier, Paul Montesano, Thomas L. Mote, Herdis Motrøen Gjelten, Lawrence Mudryk, Rolf Müller, C. S. R. Neigh, Kelsey E. Nyland, James E. Overland, Donald K. Perovich, Alek Petty, Gareth K. Phoenix, Kristin Poinar, Robert Ricker, V. E. Romanovsky, Johan H. Scheller, Mark C. Serreze, A. I. Shiklomanov, N. I. Shiklomanov, B. E. Smith, Sharon L. Smith, Robert G. M. Spencer, D. A. Streletskiy, Anya Suslova, Tove Svendby, Suzanne E. Tank, Xiangshan Tian-Kunze, Marco Tedesco, Mary-Louise Timmermans, Hans Tømmervik, Mikhail Tretiakov, Christine F. Waigl, Donald A. Walker, John E. Walsh, Muyin Wang, Melinda Webster, Dedi Yang, Scott Zolkos

Bibliographic record

VenueBulletin of the American Meteorological Society · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsUniversity of ManitobaEnvironment and Climate Change CanadaGeological Survey of CanadaUniversity of AlbertaNatural Resources CanadaUniversity of Toronto
Fundersnot available
KeywordsArcticThe arcticEnvironmental scienceGeographyGeologyOceanography

Abstract

fetched live from OpenAlex

The Arctic environment in 2024 continued on a trajectory that has put it in a state far different from that of the twentieth century. Ongoing accumulation of greenhouse gases in the atmosphere continues to quickly warm the Arctic, resulting in rapid changes in the cryosphere that are driving cascading impacts to climate, ecological, and societal systems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.210
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

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